An effective resource management for variable bit rate video-on-demand server

Video on demand servers use compression techniques to reduce the storage and bandwidth requirements. The compression techniques make the bit rates of compressed video data significantly variable from frame to frame. Consequently, video on demand servers with a constant bit rate retrieval can not maximize the utilization of resources. It is possible that when variable bit rate video data is stored, accurate description of the bit rate changes could be computed a priori. We propose a resource management strategy of a video on demand server for variable bit rate continuous media. Given a fixed disk bandwidth and a fixed amount of buffer space, our strategy maximizes the system throughput of video on demand server. Results of trace driven simulations show the effectiveness of our strategy